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    Home»AI/ML»Race to control agenticops and enterprise AI
    AI/ML

    Race to control agenticops and enterprise AI

    PineapplesUpdateBy PineapplesUpdateJune 24, 2025No Comments6 Mins Read
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    Enterprise AI Infrastructure expected to reach expenses $ 309 billion By 2032. The winners will not be determined who has the best models; It will come down who controls the infrastructure layer that turns on AI on a scale.

    Security sellers are the most aggressive tricks. Palo Alto Network, Crowdastric And Cisco Each report AI-powered security revenue increases by 70 to 80% year-on-year, while traditional infrastructure sales decline. The pattern is clear: Control aircraft for safety enterprise AI is becoming.

    “The complexity of AI Workload is stressing the existing infrastructure at its braking point,” notes in a blog post by Ali Ghodasi, CEO of Databricks. “Enterprises require fundamentally new approaches to manage AI on a scale.”

    The evidence is increasing. As IDC73% of enterprises cited infrastructure insufficiency as their primary obstacle to AI adoption. Meanwhile, opposing AIs are rapid weapons, enterprises may deploy defense. The infrastructure wars have begun.

    Agent emerges as a new battleground

    Agenticops are not a seller’s vision. It is an industry-wide belief that traditional IT operations cannot manage AI agents working on machine speed with human permissions. Cisco shut down the category Cisco Live 2025But Microsoft’s AI Orcastation, Google’s model operation And like startups Load and bias Already running to do it on its own. The lines of war are drawn.

    Technical requirements are cruel. Enterprises deploy 50,000 AI agents require infrastructure that handles cross-domain data access, real-time governance and multi-team cooperation. Traditional equipment breaks down on 5,000 agents. Mathematics does not work.

    “For the first time, for the first time, the security is becoming an accelerator for adoption instead of a barrier,” Cisco Chairman and CPO told Venturebeat in an interview recently. Shift is fundamental: Safety teams now enable AI perineogen instead of blocking it.

    Three columns define enterprise-grade agenticops: all domains, integrated data access in the associate environment where Netops and SECOPS teams work together and objective-manufactured models controlling agents. Forester research Multi-domain confirms visibility as important. The sellers who mastered the three components will dominate them. But most of the struggle to give an effective manner.

    Race to control agenticops and enterprise AI
    Sisko President and CPO Jeetu Patel launched agenticops in Cisco Live 2025, indicating a decisive step towards the cross-domain, multiplayer AI operations built on an objective-made model to handle the complexity and scale of enterprise infrastructure in the agent AI era. Source: Linkedin

    Circumference safety death

    Traditional firewall cannot protect AI workload. The evidence is heavy. Palo Alto’s Prince Cloud Procedure of 2 billion security programs daily on runtime. Fortinet security clothes More than 500 integration connects points as the circumference defense has failed. Check the infinity of the point Works on zero-trust principles, considers a violation on every layer.

    Extended Berkeley Packet Filter (EBPF) replaced the game. This Linux kernel technique enables safety enforcement without a 40% performance hit of traditional approaches. Cisco’s isolant acquisition of $ 2.8 billion valued the approach. PapaniThe open-source project of isolant, now protects the production workload in Netflix, Adobe and Capital One. 15,000 github stars reflect the adoption of enterprise, not the interest of the developer.

    Security of Craig Coners, VP and CTO of Cisco, recently implicated a change in a venturebeat interview: “The security policy now applies to every layer, from workload to silicon.” The implication is clear. Security becomes an integral part of the infrastructure, not overlay.

    Hardware seals acceleration change. Silicon-ambed security is operated in nanocycond delay. Mathematics is cruel: software-defined security adds 50–200 milliseconds. Hardware security adds 50 to 200 nanocycands. This is a million times the improvement. Sellers cannot compete without silicone capabilities.

    72-hour exploitation window

    The opponents make weapons weapons in 72 hours. Enterprise patch in 45 days. This difference produces 84% ​​successful violations. Every safety vendor is running to close it.

    Crowdastrics prevention Block exploitation before the patch is present. Qualis VMDR The real -time vulnerability provides management. Tenium patch The sub-hour promises automatic response. The live protect of Cisco applies kernel-level slopes within minutes.

    Economics are undisputed. Ponmon Institute Research suggests that the cost of each hour of delayed patching is a violation of $ 84,000. Automatic platforms provide returns on investment (ROI) in 4.7 months. Sisos cannot ignore mathematics.

    “Time is everything in cyber security,” Shlomo Cramer emphasizes K.O. Cato network“Automation is not only about efficiency; it is about living attacks that human teams cannot respond to enough quickly.”

    Overview war intensifies

    The $ 28 billion splona acquisition indicates a large truth: observation determines who wins the AI ​​Infrastructure Battle. dataDOg Processes of 18 trillion events per day. New remnant Monits 10 billion transactions per minute. Dinatress 2.5 million tracks the cloud application.

    Bates exist. Enterprises deploying AI without observation are blindly flying. “You can’t secure, which you can’t see,” said Etay Maor, senior director of the security strategy at Cato Networks. “Observancy is not alternative, it is a lot of foundation for safe digital changes.”

    The generative UI represents the next Frontier. Instead of the dashboard, the AI ​​creates interface in real time depending on an accurate problem. Servicenow, splunk and emerging players Prizer Betting that dynamic interfaces change the stable dashboard within 24 months.

    Market consolidation accelerates

    Infrastructure giants are gathering their forces through the acquisition. Cisco paid $ 28 billion for Splack. Palo Alto jointly acquired $ 1.2 billion to Cider Security, Dig Security and Talon. Crowdastrik bought Repozif, Humio and Prempt. Broadcom’s $ 69 billion VMWARE acquisition resumes the entire landscape.

    The platform velocity now determines existence. Integrated architecture cut the time of development for months to months. It now took 18 months to launch in 8 weeks. Engineering teams are voting with their legs, joining companies that ship with enterprise scale at a startup speed.

    The AI ​​Infrastructure Market is expected to consolidate less than 200 platforms of less than 200 platforms within 36 months. Gartner predicts 60% of current vendors will not be present till 2027. The message is cruel: Control the full stack or become irrelevant.

    Bottom line

    The agentic represents the most important architectural change since the arrival of cloud computing. Enterprises that create AI infrastructure consider constant compromises, infinite identity and machine-speed attacks. People sticking to the circumference defense and human-motion response will include blockbusters and Kodak in the digital cemetery.

    The sellers who solve this challenge – whether Cisco, Palo Alto, Microsoft or Emerging Players – will control the next decade of enterprise technology. the race is on. The clock is going on. The winners are already emerging.

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